Abstract: The probability density and spectral analysis results of the gas phase pressure signal of the self-excited dust scrubber are correlated with the gas-liquid two-phase flow pattern, which is used to identify the characteristic parameters of gas-liquid two phase identification. Research results show that the random fluctuation of gas pressure is closely related to the initial liquid level and the velocity of flow. The higher the initial liquid level, flow velocity increasing, the pressure fluctuation signal of gas-liquid flow is stronger, reflecting the coupling degree of intensity. The frequency spectrum of the gas phase pressure of the dust scrubber is based on the low frequency 0-10 Hz (reflecting the overall fluctuation of the liquid level); and the high frequency spectrum is accompanied by 20 Hz (reflecting the flow of air to the liquid phase of the shear and entrainment and other violent flow state). The power spectral density (PSD) distribution can fully reflect the characteristics of gas-liquid flow; The probability density parameters(μ、σ) and PSD distribution characteristics of gas phase pressure can better reflect the typical characteristics of gas-liquid two-phase flow pattern; And it can be used as the characteristic parameter to identify gas-liquid two-phase flow pattern.

Key words: characteristic parameter, gas-liquid flow pattern, quantitative identification, self excited dust scrubber